Software Engineer in Test -AI/ML

Job description

Imagine what we could do together. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what we could accomplish! The Apple Services Engineering team is one of the most exciting examples of Apple's long-held passion for combining art and technology. The products we build power the intelligence behind App Store, Apple TV, Apple Games, Apple Music, Apple Podcasts, Apple Books, Apple Sports and Apple Fitness. And we do it on a massive scale, meeting Apple's high standard for quality and excellence, to deliver a huge variety of entertainment in over 50+ languages to more than 150 countries. If you are looking for an opportunity to grow in a technical capacity by leveraging your skills along with building up solid domain knowledge and automated testing strategies and systems around Apple's services offerings in the AI/ML space, we would love to talk to you! Minimum Qualifications: Bachelor’s degree with a minimum of 5 years, or Master’s degree with a minimum of 3 years, of experience in software development and/or test automation, including at least 3 years leading complex, distributed systems. Proficiency in Java, Python or similar programming languages Experience in designing and implementing testing frameworks for distributed systems, service-layer testing, including backend APIs, data processing, and infrastructure components Passion for quality engineering and delivering creative approaches for testing machine learning algorithms and large scale distributed data systems Impeccable communication skills and ability to effectively collaborate with multiple stakeholders across organizations and project timelines Highly organized, creative, self-motivated, and passionate about achieving results. Excited about the possibilities unlocked by AI and ML technologies Advocacy for a positive customer experience Preferred Qualifications: Knowledge of Big Data systems, Apache Spark is a plus Experience with testing or working with AI/ML systems or platforms that include ML model training or data pipelines and algorithms is a plus Adept at leveraging technology to solve problems, including building tooling, automating tasks, and developing supporting systems to streamline development workflows